JAN 05

The 6th Int'l Conference on Probability and Stochastic Analysis (ICPSA 2021)

ICPSA 2021   

Conference CFP

  

 

When:

  05 Jan 2021 through 07 Jan 2021

CFP Deadline:

  05 Dec 2020

Where:

  Sanya, China

Website URL:

  http://www.seminarjan.org/conference/ICPSA2021/

Sponsoring organization:

  Academic Communications

Categories:

  Physical Science & Math > Mathematics

Event description:

The 6th Int'l Conference on Probability and Stochastic Analysis (ICPSA 2021) Conference Date: January 5-7, 2021 Conference Venue: Sanya, China Website: http://www.seminarjan.org/conference/ICPSA2021/ Online Registration System: http://www.seminarjan.org/RegistrationSubmission/default.aspx?ConferenceID=1318 Email: ic_vicky@163.com The 6th Int'l Conference on Probability and Stochastic Analysis (ICPSA 2021) will be held during January 5-7,2021 in Sanya, China. This Conference will cover issues on Probability and Stochastic Analysis. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods in related fields. If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap. Publication and Presentation Publication: Open Access Journal, please contact us for detailed information Index: CNKI and Google Scholar Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System. Contact Us Email: ic_vicky@163.com Tel: +86 132 6470 2250 QQ: 1349406763 WeChat: 3025797047 Twitter: conf_Committee Attendance Methods 1.Submit full paper (Regular Attendance+Paper Publication+Presentation) You are welcome to submit full paper, all the accepted papers will be published by Open access journal. 2. Submit abstract (Regular Attendance+Abstract+Presentation) 3. Regular Attendance (No Submission Required) Conference Topics Probability Theory / Theoretical Probability Infinite Dimensional Analysis Quantum Probability Probability Distributions Law of Large Numbers Central Limit Theorem Stochastic Processes Measure-Valued Processes Stochastic Networks Large Deviation Theory Stochastic Differential Equations Stochastic Partial Differential Equations Population and Evolutionary Models Applied Stochastic Models Stochastic Analysis Hierarchical Mean-Field Analysis Applications of Probability and Stochastics Other Related Topics

Posting date:

01 March 2020
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